Dynamics of diluted attractor neural networks with delays
✍ Scribed by Klaus Nützel; Jenny Kien; Karin Bauer; Jennifer S. Altman; Uwe Krey
- Book ID
- 104660291
- Publisher
- Springer-Verlag
- Year
- 1994
- Tongue
- English
- Weight
- 948 KB
- Volume
- 70
- Category
- Article
- ISSN
- 0340-1200
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✦ Synopsis
We present an analysis of the attractors of a deterministic dynamics in formal neural networks characterized by binary threshold units and a nonsymmetric connectivity. It is shown that in these networks a stored pattern or a pattern sequence is represented by a cloud of attractors rather than by a single attractor. Dilution, which we describe by a power-law scaling, and delayed couplings are shown to equip this type of network with a dynamic behaviour that is interesting enough for simplified models of biological motor systems.
📜 SIMILAR VOLUMES
This paper investigates the attractor and ultimate boundedness for stochastic cellular neural networks with delays. By employing the Lyapunov method and a Lasalle-type theorem, novel results and sufficient criteria on the attractor and ultimate boundedness are obtained.